Model
CHGNet
A machine learning potential function model based on charge density information, used for potential energy surface approximation and structure relaxation in materials simulation.
Timeline (last 90 days)
Oct 27
Machine learning potentials (MLP) are a class of models trained on first-principles data to approximate potential energy surfaces, with typical representatives including MACE, CHGNet, M3GNet, and the ORB series.
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